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Senior BI Engineer (Python, E-commerce)


Intrepid Group

87A Ham Nghi Street, District 1, Ho Chi Minh

Không xác định

2021-09-26 -> 2021-09-27



  • Qualifications
  • 3-5 years of Business Intelligence experience with proven data warehousing, data management and analytics skills
  • Advanced proficiency with SQL
  • Experience gathering requirements and understanding the needs of diverse stakeholders
  • Ability to dive into technical details and design analytics solutions to meet business needs
  • Creative at providing the most appropriate visual representations
  • Strong understanding of data flow and system integrations
  • Experience with multiple data warehousing tools and technologies (star schema, snowflake data models), modern database technologies, and technologies for stream and batch data processing
  • Exceptional verbal, written communication and presentation skills
  • Tech & Tool Skillset
  • Tool: BI Tool, MySQL, Data Studio, Jira, Confluence
  • Language: Python, JavaScript
  • Data Warehouse: Clickhouse, Airflow is a plus
  • Partner with business and data analysts to design, develop and maintain data pipelines, data governance compliance, procedures, and tooling to support cross country data warehousing.
  • Gather and identify system requirements through collaboration with clinical, data analysts, information systems, business systems, and other stakeholders across multiple administrative and clinical locations globally.
  • Lead the design of data warehouse schemas and data architecture to ensure system scalability, performance, data integrity and ease of use.
  • Participate in designing system data models, data integrations and automated data management solutions.
  • Lead the design of data sharing and integrations between systems for improved cross-functional reporting and insights.
  • Collaborate with technical stakeholders to determine best practices and implementation of non-functional requirements such as exception/error handling, performance optimization and code management.
  • Support subject matter experts in their development of reporting and analytics
  • Maintain parallel training and documentation activities to help build global data management capacity



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